Mengda Xu

1.5k citations
9 papers · 959 · 1 hit paper · h-index 8

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 5%
    • Long-Term Effects of COVID-19

Papers in

    • Hydrogen's biological and therapeutic effects 1
    • Cholesterol and Lipid Metabolism 1

Mengda Xu

9 papers receiving 932 citations

Hit Papers

Prognostic value of interleukin-6, C-reactive protein, and procalcitonin in patients with COVID-19 2020 · 765 citations
7650+2+4Years since publication250500750

Peers

Mengda Xu
Comparison fields: 5 of 98
  • Infectious Diseases 643
  • Neurology 341
  • Critical Care and Intensive Care Medicine 53
  • Dermatology 47
  • Epidemiology 174
Replace Xiaoyang Song with:
Xiaoyang Song China
Qianchuan Huang China
Yingjie Qi China
Qingfeng Ma China
Hongmei Zhang China
José Manuel Puerta Spain
Yimei Yin China
Mohamed Taeimah Egypt
Juyi Li China
Mengda Xu relative to Xiaoyang Song China Xiaoyang Song's profile →
Citations per field
00.5×4.3×
Xiaoyang Song · 1×
Citations per year

Countries citing papers authored by Mengda Xu

Since Specialization
Citations

This map shows the geographic impact of Mengda Xu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mengda Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengda Xu more than expected).

Fields of papers citing papers by Mengda Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mengda Xu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mengda Xu. The network helps show where Mengda Xu may publish in the future.

Co-authors

The 25 scholars most cited alongside Mengda Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mengda Xu Line = papers co-authored together Mengda Xu links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Prognostic value of interleukin-6, C-reactive protein, and procalcitonin in patients with COVID-19
Hit paper breakdown →
2020765
2 201992
3 201735
4 201817
5 202116
6 201914
7 202311
8 20228
9 20231

About Mengda Xu

Mengda Xu is a scholar working on Surgery, Epidemiology, Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 959 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (2 papers), COVID-19 Clinical Research Studies (2 papers), Hydrogen's biological and therapeutic effects (1 paper), Long-Term Effects of COVID-19 (1 paper), COVID-19 diagnosis using AI (1 paper), Postharvest Quality and Shelf Life Management (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Infectious Diseases (643 citations), Neurology (341 citations), Critical Care and Intensive Care Medicine (53 citations), Dermatology (47 citations) and Epidemiology (174 citations). Mengda Xu has collaborated with scholars based in China. Frequent co-authors include Bixi Li, Xiaoyang Song, Xiang Zhou, Fang Liu, Juan Wu, Li Lin, Changli Wang, Xiaoming Deng, Jinjun Bian and Zhengyu Jiang. Their work appears in journals such as Scientific Reports, Virology Journal, Experimental & Molecular Medicine, Journal of Molecular Histology and CyTA - Journal of Food.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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